摘要
本文通过对１９５２年至１９９８年的资料分析发现，东太平洋地区的海 温变化对江苏省太湖地区小麦赤霉病发生程度有着显著的滞后影响，在ＥＮＳＯ事 件开始或维持的下一年赤霉病明显偏重发生．在此基础上，运用人工种经网络方 法，建立了太湖地区小麦赤霉病的海温长期混合预报模型．
An analysis of related data from 1952 to 1998 in this paper shows that the abnormality of SST in the east Pacific near equator has remarkable stagnant influence on the occurrence of winter wheat gibberellin in .Taihu region of Jiangsu province. The gibberellin situation is obviously worse following the year when ENSO event occurs or sustains. Based upon the above analysis, a long-range forecasting model of the gibberellin in Taihu region has been set up in the form of neural network.
出处
《气象科学》
CSCD
北大核心
2000年第4期511-515,共5页
Journal of the Meteorological Sciences
基金
中国气象局青年基金课题资助
